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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
, networking, mapping Solid background or experience in programming in C++, MATLAB or similar platforms Fundamental knowledge and experimental background in sensors, data acquisition, and electrical actuators
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available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and
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services. List of doctoral programmes and other offers Currently, eight structured doctoral programmes are part of the MMMIGS network: The CAUSE Research Training Group (Concepts and Algorithms For – and
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, Mesoscopic Physics/Nanoscience , Metrology , MOTRIMS , Multi-messenger Astronomy , Nano- and Optomechanis , Nanomechanics , Nanoscience , Nanotechnology , Network , Networks , Neutrino Astronomy , Neutrino
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or entangled photon pairs. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of
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contribute to research on secure and efficient AI for embedded cyber-physical power electronic systems. The main activities include: Analyzing how disturbances or cyberattacks, such as sensor manipulation
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research Competitive MSCA salary & allowances Global academic & industrial network Non-academic secondments Salary (Gross amount) Living Allowance Mobility Allowance* Family Allowance** EUR 4736
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of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking, administrative
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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disturbances or cyberattacks, such as sensor manipulation, electromagnetic interference, or injected faults, can affect the behaviour of power electronic systems. Developing data-driven models that capture how